Class: AWS.Comprehend

Overview

Constructs a service interface object. Each API operation is exposed as a
function on service.

Service Description

Amazon Comprehend is an AWS service for gaining insight into the content of documents. Use these actions to determine the topics contained in your documents, the topics they discuss, the predominant sentiment expressed in them, the predominant language used, and more.

enum [Boolean] — Validates that a string value matches one
of the allowable enum values.

computeChecksums(Boolean)
—

whether to compute checksums
for payload bodies when the service accepts it (currently supported
in S3 only)

convertResponseTypes(Boolean)
—

whether types are converted
when parsing response data. Currently only supported for JSON based
services. Turning this off may improve performance on large response
payloads. Defaults to true.

correctClockSkew(Boolean)
—

whether to apply a clock skew
correction and retry requests that fail because of an skewed client
clock. Defaults to false.

s3ForcePathStyle(Boolean)
—

whether to force path
style URLs for S3 objects.

s3BucketEndpoint(Boolean)
—

whether the provided endpoint
addresses an individual bucket (false if it addresses the root API
endpoint). Note that setting this configuration option requires an
endpoint to be provided explicitly to the service constructor.

s3DisableBodySigning(Boolean)
—

whether S3 body signing
should be disabled when using signature version v4. Body signing
can only be disabled when using https. Defaults to true.

retryDelayOptions(map)
—

A set of options to configure
the retry delay on retryable errors. Currently supported options are:

base [Integer] — The base number of milliseconds to use in the
exponential backoff for operation retries. Defaults to 100 ms for all
services except DynamoDB, where it defaults to 50ms.

customBackoff [function] — A custom function that accepts a retry count
and returns the amount of time to delay in milliseconds. The base option will be
ignored if this option is supplied.

httpOptions(map)
—

A set of options to pass to the low-level
HTTP request. Currently supported options are:

proxy [String] — the URL to proxy requests through

agent [http.Agent, https.Agent] — the Agent object to perform
HTTP requests with. Used for connection pooling. Defaults to the global
agent (http.globalAgent) for non-SSL connections. Note that for
SSL connections, a special Agent object is used in order to enable
peer certificate verification. This feature is only available in the
Node.js environment.

connectTimeout [Integer] — Sets the socket to timeout after
failing to establish a connection with the server after
connectTimeout milliseconds. This timeout has no effect once a socket
connection has been established.

timeout [Integer] — Sets the socket to timeout after timeout
milliseconds of inactivity on the socket. Defaults to two minutes
(120000).

xhrAsync [Boolean] — Whether the SDK will send asynchronous
HTTP requests. Used in the browser environment only. Set to false to
send requests synchronously. Defaults to true (async on).

xhrWithCredentials [Boolean] — Sets the "withCredentials"
property of an XMLHttpRequest object. Used in the browser environment
only. Defaults to false.

apiVersion(String, Date)
—

a String in YYYY-MM-DD format
(or a date) that represents the latest possible API version that can be
used in all services (unless overridden by apiVersions). Specify
'latest' to use the latest possible version.

apiVersions(map<String, String|Date>)
—

a map of service
identifiers (the lowercase service class name) with the API version to
use when instantiating a service. Specify 'latest' for each individual
that can use the latest available version.

logger(#write, #log)
—

an object that responds to .write()
(like a stream) or .log() (like the console object) in order to log
information about requests

systemClockOffset(Number)
—

an offset value in milliseconds
to apply to all signing times. Use this to compensate for clock skew
when your system may be out of sync with the service time. Note that
this configuration option can only be applied to the global AWS.config
object and cannot be overridden in service-specific configuration.
Defaults to 0 milliseconds.

A list containing the text of the input documents. The list can contain a maximum of 25 documents. Each document should contain at least 20 characters and must contain fewer than 5,000 bytes of UTF-8 encoded characters.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

ResultList — (Array<map>)

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

Index — (Integer)

The zero-based index of the document in the input list.

Languages — (Array<map>)

One or more DominantLanguage objects describing the dominant languages in the document.

LanguageCode — (String)

The RFC 5646 language code for the dominant language. For more information about RFC 5646, see Tags for Identifying Languages on the IETF Tools web site.

Score — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of the detection.

ErrorList — (Array<map>)

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

ResultList — (Array<map>)

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

Index — (Integer)

The zero-based index of the document in the input list.

Entities — (Array<map>)

One or more Entity objects, one for each entity detected in the document.

Score — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of the detection.

Type — (String)

The entity's type.

Possible values include:

"PERSON"

"LOCATION"

"ORGANIZATION"

"COMMERCIAL_ITEM"

"EVENT"

"DATE"

"QUANTITY"

"TITLE"

"OTHER"

Text — (String)

The text of the entity.

BeginOffset — (Integer)

A character offset in the input text that shows where the entity begins (the first character is at position 0). The offset returns the position of each UTF-8 code point in the string. A code point is the abstract character from a particular graphical representation. For example, a multi-byte UTF-8 character maps to a single code point.

EndOffset — (Integer)

A character offset in the input text that shows where the entity ends. The offset returns the position of each UTF-8 code point in the string. A code point is the abstract character from a particular graphical representation. For example, a multi-byte UTF-8 character maps to a single code point.

ErrorList — (Array<map>)

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

ResultList — (Array<map>)

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

Index — (Integer)

The zero-based index of the document in the input list.

KeyPhrases — (Array<map>)

One or more KeyPhrase objects, one for each key phrase detected in the document.

Score — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of the detection.

Text — (String)

The text of a key noun phrase.

BeginOffset — (Integer)

A character offset in the input text that shows where the key phrase begins (the first character is at position 0). The offset returns the position of each UTF-8 code point in the string. A code point is the abstract character from a particular graphical representation. For example, a multi-byte UTF-8 character maps to a single code point.

EndOffset — (Integer)

A character offset in the input text where the key phrase ends. The offset returns the position of each UTF-8 code point in the string. A code point is the abstract character from a particular graphical representation. For example, a multi-byte UTF-8 character maps to a single code point.

ErrorList — (Array<map>)

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

ResultList — (Array<map>)

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

Index — (Integer)

The zero-based index of the document in the input list.

Sentiment — (String)

The sentiment detected in the document.

Possible values include:

"POSITIVE"

"NEGATIVE"

"NEUTRAL"

"MIXED"

SentimentScore — (map)

The level of confidence that Amazon Comprehend has in the accuracy of its sentiment detection.

Positive — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of its detection of the POSITIVE sentiment.

Negative — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of its detection of the NEGATIVE sentiment.

Neutral — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of its detection of the NEUTRAL sentiment.

Mixed — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of its detection of the MIXED sentiment.

ErrorList — (Array<map>)

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

ResultList — (Array<map>)

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

Index — (Integer)

The zero-based index of the document in the input list.

SyntaxTokens — (Array<map>)

The syntax tokens for the words in the document, one token for each word.

TokenId — (Integer)

A unique identifier for a token.

Text — (String)

The word that was recognized in the source text.

BeginOffset — (Integer)

The zero-based offset from the beginning of the source text to the first character in the word.

EndOffset — (Integer)

The zero-based offset from the beginning of the source text to the last character in the word.

PartOfSpeech — (map)

Provides the part of speech label and the confidence level that Amazon Comprehend has that the part of speech was correctly identified. For more information, see how-syntax.

Tag — (String)

Identifies the part of speech that the token represents.

Possible values include:

"ADJ"

"ADP"

"ADV"

"AUX"

"CONJ"

"CCONJ"

"DET"

"INTJ"

"NOUN"

"NUM"

"O"

"PART"

"PRON"

"PROPN"

"PUNCT"

"SCONJ"

"SYM"

"VERB"

Score — (Float)

The confidence that Amazon Comprehend has that the part of speech was correctly identified.

ErrorList — (Array<map>)

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

Creates a new document classifier that you can use to categorize documents. To create a classifier you provide a set of training documents that labeled with the categories that you want to use. After the classifier is trained you can use it to categorize a set of labeled documents into the categories. For more information, see how-document-classification.

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

Tags — (Array<map>)

Tags to be associated with the document classifier being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

Key — required — (String)

The initial part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the key portion of the pair, with multiple possible values such as “sales,” “legal,” and “administration.”

Value — (String)

The second part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the initial (key) portion of the pair, with a value of “sales” to indicate the sales department.

InputDataConfig — (map)

Specifies the format and location of the input data for the job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The S3 bucket must be in the same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

When you use the OutputDataConfig object while creating a custom classifier, you specify the Amazon S3 location where you want to write the confusion matrix. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of this output file.

When the custom classifier job is finished, the service creates the output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the confusion matrix.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

If a token is not provided, the SDK will use a version 4 UUID.

LanguageCode — (String)

The language of the input documents. You can specify English ("en") or Spanish ("es"). All documents must be in the same language.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.

DataAccessRoleArn — (String)

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

Tags — (Array<map>)

Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

Key — required — (String)

The initial part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the key portion of the pair, with multiple possible values such as “sales,” “legal,” and “administration.”

Value — (String)

The second part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the initial (key) portion of the pair, with a value of “sales” to indicate the sales department.

InputDataConfig — (map)

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.

EntityTypes — required — (Array<map>)

The entity types in the input data for an entity recognizer.

Type — required — (String)

Entity type of an item on an entity type list.

Documents — required — (map)

S3 location of the documents folder for an entity recognizer

S3Uri — required — (String)

Specifies the Amazon S3 location where the training documents for an entity recognizer are located. The URI must be in the same region as the API endpoint that you are calling.

Annotations — (map)

S3 location of the annotations file for an entity recognizer.

S3Uri — required — (String)

Specifies the Amazon S3 location where the annotations for an entity recognizer are located. The URI must be in the same region as the API endpoint that you are calling.

EntityList — (map)

S3 location of the entity list for an entity recognizer.

S3Uri — required — (String)

Specifies the Amazon S3 location where the entity list is located. The URI must be in the same region as the API endpoint that you are calling.

ClientRequestToken — (String)

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

If a token is not provided, the SDK will use a version 4 UUID.

LanguageCode — (String)

The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

Only those classifiers that are in terminated states (IN_ERROR, TRAINED) will be deleted. If an active inference job is using the model, a ResourceInUseException will be returned.

This is an asynchronous action that puts the classifier into a DELETING state, and it is then removed by a background job. Once removed, the classifier disappears from your account and is no longer available for use.

Only those recognizers that are in terminated states (IN_ERROR, TRAINED) will be deleted. If an active inference job is using the model, a ResourceInUseException will be returned.

This is an asynchronous action that puts the recognizer into a DELETING state, and it is then removed by a background job. Once removed, the recognizer disappears from your account and is no longer available for use.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

DocumentClassificationJobProperties — (map)

An object that describes the properties associated with the document classification job.

JobId — (String)

The identifier assigned to the document classification job.

JobName — (String)

The name that you assigned to the document classification job.

JobStatus — (String)

The current status of the document classification job. If the status is FAILED, the Message field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description of the status of the job.

SubmitTime — (Date)

The time that the document classification job was submitted for processing.

EndTime — (Date)

The time that the document classification job completed.

DocumentClassifierArn — (String)

The Amazon Resource Name (ARN) that identifies the document classifier.

InputDataConfig — (map)

The input data configuration that you supplied when you created the document classification job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the document classification job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

The Amazon Resource Name (ARN) of the AWS identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your document classification job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

DocumentClassifierProperties — (map)

An object that contains the properties associated with a document classifier.

DocumentClassifierArn — (String)

The Amazon Resource Name (ARN) that identifies the document classifier.

LanguageCode — (String)

The language code for the language of the documents that the classifier was trained on.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

Status — (String)

The status of the document classifier. If the status is TRAINED the classifier is ready to use. If the status is FAILED you can see additional information about why the classifier wasn't trained in the Message field.

Possible values include:

"SUBMITTED"

"TRAINING"

"DELETING"

"STOP_REQUESTED"

"STOPPED"

"IN_ERROR"

"TRAINED"

Message — (String)

Additional information about the status of the classifier.

SubmitTime — (Date)

The time that the document classifier was submitted for training.

EndTime — (Date)

The time that training the document classifier completed.

TrainingStartTime — (Date)

Indicates the time when the training starts on documentation classifiers. You are billed for the time interval between this time and the value of TrainingEndTime.

TrainingEndTime — (Date)

The time that training of the document classifier was completed. Indicates the time when the training completes on documentation classifiers. You are billed for the time interval between this time and the value of TrainingStartTime.

InputDataConfig — (map)

The input data configuration that you supplied when you created the document classifier for training.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The S3 bucket must be in the same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

When you use the OutputDataConfig object while creating a custom classifier, you specify the Amazon S3 location where you want to write the confusion matrix. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of this output file.

When the custom classifier job is finished, the service creates the output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the confusion matrix.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Information about the document classifier, including the number of documents used for training the classifier, the number of documents used for test the classifier, and an accuracy rating.

NumberOfLabels — (Integer)

The number of labels in the input data.

NumberOfTrainedDocuments — (Integer)

The number of documents in the input data that were used to train the classifier. Typically this is 80 to 90 percent of the input documents.

NumberOfTestDocuments — (Integer)

The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents.

EvaluationMetrics — (map)

Describes the result metrics for the test data associated with an documentation classifier.

Accuracy — (Float)

The fraction of the labels that were correct recognized. It is computed by dividing the number of labels in the test documents that were correctly recognized by the total number of labels in the test documents.

Precision — (Float)

A measure of the usefulness of the classifier results in the test data. High precision means that the classifier returned substantially more relevant results than irrelevant ones.

Recall — (Float)

A measure of how complete the classifier results are for the test data. High recall means that the classifier returned most of the relevant results.

F1Score — (Float)

A measure of how accurate the classifier results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

DataAccessRoleArn — (String)

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

DominantLanguageDetectionJobProperties — (map)

An object that contains the properties associated with a dominant language detection job.

JobId — (String)

The identifier assigned to the dominant language detection job.

JobName — (String)

The name that you assigned to the dominant language detection job.

JobStatus — (String)

The current status of the dominant language detection job. If the status is FAILED, the Message field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description for the status of a job.

SubmitTime — (Date)

The time that the dominant language detection job was submitted for processing.

EndTime — (Date)

The time that the dominant language detection job completed.

InputDataConfig — (map)

The input data configuration that you supplied when you created the dominant language detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the dominant language detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your dominant language detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

EntitiesDetectionJobProperties — (map)

An object that contains the properties associated with an entities detection job.

JobId — (String)

The identifier assigned to the entities detection job.

JobName — (String)

The name that you assigned the entities detection job.

JobStatus — (String)

The current status of the entities detection job. If the status is FAILED, the Message field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description of the status of a job.

SubmitTime — (Date)

The time that the entities detection job was submitted for processing.

EndTime — (Date)

The time that the entities detection job completed

EntityRecognizerArn — (String)

The Amazon Resource Name (ARN) that identifies the entity recognizer.

InputDataConfig — (map)

The input data configuration that you supplied when you created the entities detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the entities detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

EntityRecognizerProperties — (map)

Describes information associated with an entity recognizer.

EntityRecognizerArn — (String)

The Amazon Resource Name (ARN) that identifies the entity recognizer.

LanguageCode — (String)

The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

Status — (String)

Provides the status of the entity recognizer.

Possible values include:

"SUBMITTED"

"TRAINING"

"DELETING"

"STOP_REQUESTED"

"STOPPED"

"IN_ERROR"

"TRAINED"

Message — (String)

A description of the status of the recognizer.

SubmitTime — (Date)

The time that the recognizer was submitted for processing.

EndTime — (Date)

The time that the recognizer creation completed.

TrainingStartTime — (Date)

The time that training of the entity recognizer started.

TrainingEndTime — (Date)

The time that training of the entity recognizer was completed.

InputDataConfig — (map)

The input data properties of an entity recognizer.

EntityTypes — required — (Array<map>)

The entity types in the input data for an entity recognizer.

Type — required — (String)

Entity type of an item on an entity type list.

Documents — required — (map)

S3 location of the documents folder for an entity recognizer

S3Uri — required — (String)

Specifies the Amazon S3 location where the training documents for an entity recognizer are located. The URI must be in the same region as the API endpoint that you are calling.

Annotations — (map)

S3 location of the annotations file for an entity recognizer.

S3Uri — required — (String)

Specifies the Amazon S3 location where the annotations for an entity recognizer are located. The URI must be in the same region as the API endpoint that you are calling.

EntityList — (map)

S3 location of the entity list for an entity recognizer.

S3Uri — required — (String)

Specifies the Amazon S3 location where the entity list is located. The URI must be in the same region as the API endpoint that you are calling.

RecognizerMetadata — (map)

Provides information about an entity recognizer.

NumberOfTrainedDocuments — (Integer)

The number of documents in the input data that were used to train the entity recognizer. Typically this is 80 to 90 percent of the input documents.

NumberOfTestDocuments — (Integer)

The number of documents in the input data that were used to test the entity recognizer. Typically this is 10 to 20 percent of the input documents.

EvaluationMetrics — (map)

Detailed information about the accuracy of an entity recognizer.

Precision — (Float)

A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.

Recall — (Float)

A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.

F1Score — (Float)

A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

EntityTypes — (Array<map>)

Entity types from the metadata of an entity recognizer.

Type — (String)

Type of entity from the list of entity types in the metadata of an entity recognizer.

DataAccessRoleArn — (String)

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

KeyPhrasesDetectionJobProperties — (map)

An object that contains the properties associated with a key phrases detection job.

JobId — (String)

The identifier assigned to the key phrases detection job.

JobName — (String)

The name that you assigned the key phrases detection job.

JobStatus — (String)

The current status of the key phrases detection job. If the status is FAILED, the Message field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description of the status of a job.

SubmitTime — (Date)

The time that the key phrases detection job was submitted for processing.

EndTime — (Date)

The time that the key phrases detection job completed.

InputDataConfig — (map)

The input data configuration that you supplied when you created the key phrases detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the key phrases detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your key phrases detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

SentimentDetectionJobProperties — (map)

An object that contains the properties associated with a sentiment detection job.

JobId — (String)

The identifier assigned to the sentiment detection job.

JobName — (String)

The name that you assigned to the sentiment detection job

JobStatus — (String)

The current status of the sentiment detection job. If the status is FAILED, the Messages field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description of the status of a job.

SubmitTime — (Date)

The time that the sentiment detection job was submitted for processing.

EndTime — (Date)

The time that the sentiment detection job ended.

InputDataConfig — (map)

The input data configuration that you supplied when you created the sentiment detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the sentiment detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your sentiment detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

TopicsDetectionJobProperties — (map)

The list of properties for the requested job.

JobId — (String)

The identifier assigned to the topic detection job.

JobName — (String)

The name of the topic detection job.

JobStatus — (String)

The current status of the topic detection job. If the status is Failed, the reason for the failure is shown in the Message field.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description for the status of a job.

SubmitTime — (Date)

The time that the topic detection job was submitted for processing.

EndTime — (Date)

The time that the topic detection job was completed.

InputDataConfig — (map)

The input data configuration supplied when you created the topic detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration supplied when you created the topic detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

The number of topics to detect supplied when you created the topic detection job. The default is 10.

DataAccessRoleArn — (String)

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your job data.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

Languages — (Array<map>)

The languages that Amazon Comprehend detected in the input text. For each language, the response returns the RFC 5646 language code and the level of confidence that Amazon Comprehend has in the accuracy of its inference. For more information about RFC 5646, see Tags for Identifying Languages on the IETF Tools web site.

LanguageCode — (String)

The RFC 5646 language code for the dominant language. For more information about RFC 5646, see Tags for Identifying Languages on the IETF Tools web site.

Score — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of the detection.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

Entities — (Array<map>)

A collection of entities identified in the input text. For each entity, the response provides the entity text, entity type, where the entity text begins and ends, and the level of confidence that Amazon Comprehend has in the detection. For a list of entity types, see how-entities.

Score — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of the detection.

Type — (String)

The entity's type.

Possible values include:

"PERSON"

"LOCATION"

"ORGANIZATION"

"COMMERCIAL_ITEM"

"EVENT"

"DATE"

"QUANTITY"

"TITLE"

"OTHER"

Text — (String)

The text of the entity.

BeginOffset — (Integer)

A character offset in the input text that shows where the entity begins (the first character is at position 0). The offset returns the position of each UTF-8 code point in the string. A code point is the abstract character from a particular graphical representation. For example, a multi-byte UTF-8 character maps to a single code point.

EndOffset — (Integer)

A character offset in the input text that shows where the entity ends. The offset returns the position of each UTF-8 code point in the string. A code point is the abstract character from a particular graphical representation. For example, a multi-byte UTF-8 character maps to a single code point.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

KeyPhrases — (Array<map>)

A collection of key phrases that Amazon Comprehend identified in the input text. For each key phrase, the response provides the text of the key phrase, where the key phrase begins and ends, and the level of confidence that Amazon Comprehend has in the accuracy of the detection.

Score — (Float)

The level of confidence that Amazon Comprehend has in the accuracy of the detection.

Text — (String)

The text of a key noun phrase.

BeginOffset — (Integer)

A character offset in the input text that shows where the key phrase begins (the first character is at position 0). The offset returns the position of each UTF-8 code point in the string. A code point is the abstract character from a particular graphical representation. For example, a multi-byte UTF-8 character maps to a single code point.

EndOffset — (Integer)

A character offset in the input text where the key phrase ends. The offset returns the position of each UTF-8 code point in the string. A code point is the abstract character from a particular graphical representation. For example, a multi-byte UTF-8 character maps to a single code point.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

SyntaxTokens — (Array<map>)

A collection of syntax tokens describing the text. For each token, the response provides the text, the token type, where the text begins and ends, and the level of confidence that Amazon Comprehend has that the token is correct. For a list of token types, see how-syntax.

TokenId — (Integer)

A unique identifier for a token.

Text — (String)

The word that was recognized in the source text.

BeginOffset — (Integer)

The zero-based offset from the beginning of the source text to the first character in the word.

EndOffset — (Integer)

The zero-based offset from the beginning of the source text to the last character in the word.

PartOfSpeech — (map)

Provides the part of speech label and the confidence level that Amazon Comprehend has that the part of speech was correctly identified. For more information, see how-syntax.

Tag — (String)

Identifies the part of speech that the token represents.

Possible values include:

"ADJ"

"ADP"

"ADV"

"AUX"

"CONJ"

"CCONJ"

"DET"

"INTJ"

"NOUN"

"NUM"

"O"

"PART"

"PRON"

"PROPN"

"PUNCT"

"SCONJ"

"SYM"

"VERB"

Score — (Float)

The confidence that Amazon Comprehend has that the part of speech was correctly identified.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

DocumentClassificationJobPropertiesList — (Array<map>)

A list containing the properties of each job returned.

JobId — (String)

The identifier assigned to the document classification job.

JobName — (String)

The name that you assigned to the document classification job.

JobStatus — (String)

The current status of the document classification job. If the status is FAILED, the Message field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description of the status of the job.

SubmitTime — (Date)

The time that the document classification job was submitted for processing.

EndTime — (Date)

The time that the document classification job completed.

DocumentClassifierArn — (String)

The Amazon Resource Name (ARN) that identifies the document classifier.

InputDataConfig — (map)

The input data configuration that you supplied when you created the document classification job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the document classification job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

The Amazon Resource Name (ARN) of the AWS identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your document classification job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.

Status — (String)

Filters the list of classifiers based on status.

Possible values include:

"SUBMITTED"

"TRAINING"

"DELETING"

"STOP_REQUESTED"

"STOPPED"

"IN_ERROR"

"TRAINED"

SubmitTimeBefore — (Date)

Filters the list of classifiers based on the time that the classifier was submitted for processing. Returns only classifiers submitted before the specified time. Classifiers are returned in ascending order, oldest to newest.

SubmitTimeAfter — (Date)

Filters the list of classifiers based on the time that the classifier was submitted for processing. Returns only classifiers submitted after the specified time. Classifiers are returned in descending order, newest to oldest.

NextToken — (String)

Identifies the next page of results to return.

MaxResults — (Integer)

The maximum number of results to return in each page. The default is 100.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

DocumentClassifierPropertiesList — (Array<map>)

A list containing the properties of each job returned.

DocumentClassifierArn — (String)

The Amazon Resource Name (ARN) that identifies the document classifier.

LanguageCode — (String)

The language code for the language of the documents that the classifier was trained on.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

Status — (String)

The status of the document classifier. If the status is TRAINED the classifier is ready to use. If the status is FAILED you can see additional information about why the classifier wasn't trained in the Message field.

Possible values include:

"SUBMITTED"

"TRAINING"

"DELETING"

"STOP_REQUESTED"

"STOPPED"

"IN_ERROR"

"TRAINED"

Message — (String)

Additional information about the status of the classifier.

SubmitTime — (Date)

The time that the document classifier was submitted for training.

EndTime — (Date)

The time that training the document classifier completed.

TrainingStartTime — (Date)

Indicates the time when the training starts on documentation classifiers. You are billed for the time interval between this time and the value of TrainingEndTime.

TrainingEndTime — (Date)

The time that training of the document classifier was completed. Indicates the time when the training completes on documentation classifiers. You are billed for the time interval between this time and the value of TrainingStartTime.

InputDataConfig — (map)

The input data configuration that you supplied when you created the document classifier for training.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The S3 bucket must be in the same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

When you use the OutputDataConfig object while creating a custom classifier, you specify the Amazon S3 location where you want to write the confusion matrix. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of this output file.

When the custom classifier job is finished, the service creates the output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the confusion matrix.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Information about the document classifier, including the number of documents used for training the classifier, the number of documents used for test the classifier, and an accuracy rating.

NumberOfLabels — (Integer)

The number of labels in the input data.

NumberOfTrainedDocuments — (Integer)

The number of documents in the input data that were used to train the classifier. Typically this is 80 to 90 percent of the input documents.

NumberOfTestDocuments — (Integer)

The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents.

EvaluationMetrics — (map)

Describes the result metrics for the test data associated with an documentation classifier.

Accuracy — (Float)

The fraction of the labels that were correct recognized. It is computed by dividing the number of labels in the test documents that were correctly recognized by the total number of labels in the test documents.

Precision — (Float)

A measure of the usefulness of the classifier results in the test data. High precision means that the classifier returned substantially more relevant results than irrelevant ones.

Recall — (Float)

A measure of how complete the classifier results are for the test data. High recall means that the classifier returned most of the relevant results.

F1Score — (Float)

A measure of how accurate the classifier results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

DataAccessRoleArn — (String)

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

DominantLanguageDetectionJobPropertiesList — (Array<map>)

A list containing the properties of each job that is returned.

JobId — (String)

The identifier assigned to the dominant language detection job.

JobName — (String)

The name that you assigned to the dominant language detection job.

JobStatus — (String)

The current status of the dominant language detection job. If the status is FAILED, the Message field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description for the status of a job.

SubmitTime — (Date)

The time that the dominant language detection job was submitted for processing.

EndTime — (Date)

The time that the dominant language detection job completed.

InputDataConfig — (map)

The input data configuration that you supplied when you created the dominant language detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the dominant language detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your dominant language detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

EntitiesDetectionJobPropertiesList — (Array<map>)

A list containing the properties of each job that is returned.

JobId — (String)

The identifier assigned to the entities detection job.

JobName — (String)

The name that you assigned the entities detection job.

JobStatus — (String)

The current status of the entities detection job. If the status is FAILED, the Message field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description of the status of a job.

SubmitTime — (Date)

The time that the entities detection job was submitted for processing.

EndTime — (Date)

The time that the entities detection job completed

EntityRecognizerArn — (String)

The Amazon Resource Name (ARN) that identifies the entity recognizer.

InputDataConfig — (map)

The input data configuration that you supplied when you created the entities detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the entities detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Gets a list of the properties of all entity recognizers that you created, including recognizers currently in training. Allows you to filter the list of recognizers based on criteria such as status and submission time. This call returns up to 500 entity recognizers in the list, with a default number of 100 recognizers in the list.

The results of this list are not in any particular order. Please get the list and sort locally if needed.

Filters the list of entities returned. You can filter on Status, SubmitTimeBefore, or SubmitTimeAfter. You can only set one filter at a time.

Status — (String)

The status of an entity recognizer.

Possible values include:

"SUBMITTED"

"TRAINING"

"DELETING"

"STOP_REQUESTED"

"STOPPED"

"IN_ERROR"

"TRAINED"

SubmitTimeBefore — (Date)

Filters the list of entities based on the time that the list was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in descending order, newest to oldest.

SubmitTimeAfter — (Date)

Filters the list of entities based on the time that the list was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in ascending order, oldest to newest.

NextToken — (String)

Identifies the next page of results to return.

MaxResults — (Integer)

The maximum number of results to return on each page. The default is 100.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

EntityRecognizerPropertiesList — (Array<map>)

The list of properties of an entity recognizer.

EntityRecognizerArn — (String)

The Amazon Resource Name (ARN) that identifies the entity recognizer.

LanguageCode — (String)

The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

Status — (String)

Provides the status of the entity recognizer.

Possible values include:

"SUBMITTED"

"TRAINING"

"DELETING"

"STOP_REQUESTED"

"STOPPED"

"IN_ERROR"

"TRAINED"

Message — (String)

A description of the status of the recognizer.

SubmitTime — (Date)

The time that the recognizer was submitted for processing.

EndTime — (Date)

The time that the recognizer creation completed.

TrainingStartTime — (Date)

The time that training of the entity recognizer started.

TrainingEndTime — (Date)

The time that training of the entity recognizer was completed.

InputDataConfig — (map)

The input data properties of an entity recognizer.

EntityTypes — required — (Array<map>)

The entity types in the input data for an entity recognizer.

Type — required — (String)

Entity type of an item on an entity type list.

Documents — required — (map)

S3 location of the documents folder for an entity recognizer

S3Uri — required — (String)

Specifies the Amazon S3 location where the training documents for an entity recognizer are located. The URI must be in the same region as the API endpoint that you are calling.

Annotations — (map)

S3 location of the annotations file for an entity recognizer.

S3Uri — required — (String)

Specifies the Amazon S3 location where the annotations for an entity recognizer are located. The URI must be in the same region as the API endpoint that you are calling.

EntityList — (map)

S3 location of the entity list for an entity recognizer.

S3Uri — required — (String)

Specifies the Amazon S3 location where the entity list is located. The URI must be in the same region as the API endpoint that you are calling.

RecognizerMetadata — (map)

Provides information about an entity recognizer.

NumberOfTrainedDocuments — (Integer)

The number of documents in the input data that were used to train the entity recognizer. Typically this is 80 to 90 percent of the input documents.

NumberOfTestDocuments — (Integer)

The number of documents in the input data that were used to test the entity recognizer. Typically this is 10 to 20 percent of the input documents.

EvaluationMetrics — (map)

Detailed information about the accuracy of an entity recognizer.

Precision — (Float)

A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.

Recall — (Float)

A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.

F1Score — (Float)

A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

EntityTypes — (Array<map>)

Entity types from the metadata of an entity recognizer.

Type — (String)

Type of entity from the list of entity types in the metadata of an entity recognizer.

DataAccessRoleArn — (String)

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

KeyPhrasesDetectionJobPropertiesList — (Array<map>)

A list containing the properties of each job that is returned.

JobId — (String)

The identifier assigned to the key phrases detection job.

JobName — (String)

The name that you assigned the key phrases detection job.

JobStatus — (String)

The current status of the key phrases detection job. If the status is FAILED, the Message field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description of the status of a job.

SubmitTime — (Date)

The time that the key phrases detection job was submitted for processing.

EndTime — (Date)

The time that the key phrases detection job completed.

InputDataConfig — (map)

The input data configuration that you supplied when you created the key phrases detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the key phrases detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your key phrases detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

SentimentDetectionJobPropertiesList — (Array<map>)

A list containing the properties of each job that is returned.

JobId — (String)

The identifier assigned to the sentiment detection job.

JobName — (String)

The name that you assigned to the sentiment detection job

JobStatus — (String)

The current status of the sentiment detection job. If the status is FAILED, the Messages field shows the reason for the failure.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description of the status of a job.

SubmitTime — (Date)

The time that the sentiment detection job was submitted for processing.

EndTime — (Date)

The time that the sentiment detection job ended.

InputDataConfig — (map)

The input data configuration that you supplied when you created the sentiment detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration that you supplied when you created the sentiment detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your sentiment detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

ResourceArn — (String)

The Amazon Resource Name (ARN) of the given Amazon Comprehend resource you are querying.

Tags — (Array<map>)

Tags associated with the Amazon Comprehend resource being queried. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

Key — required — (String)

The initial part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the key portion of the pair, with multiple possible values such as “sales,” “legal,” and “administration.”

Value — (String)

The second part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the initial (key) portion of the pair, with a value of “sales” to indicate the sales department.

the response object containing error, data properties, and the original request object.

Parameters:

err(Error)
—

the error object returned from the request.
Set to null if the request is successful.

data(Object)
—

the de-serialized data returned from
the request. Set to null if a request error occurs.
The data object has the following properties:

TopicsDetectionJobPropertiesList — (Array<map>)

A list containing the properties of each job that is returned.

JobId — (String)

The identifier assigned to the topic detection job.

JobName — (String)

The name of the topic detection job.

JobStatus — (String)

The current status of the topic detection job. If the status is Failed, the reason for the failure is shown in the Message field.

Possible values include:

"SUBMITTED"

"IN_PROGRESS"

"COMPLETED"

"FAILED"

"STOP_REQUESTED"

"STOPPED"

Message — (String)

A description for the status of a job.

SubmitTime — (Date)

The time that the topic detection job was submitted for processing.

EndTime — (Date)

The time that the topic detection job was completed.

InputDataConfig — (map)

The input data configuration supplied when you created the topic detection job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

The output data configuration supplied when you created the topic detection job.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

The number of topics to detect supplied when you created the topic detection job. The default is 10.

DataAccessRoleArn — (String)

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your job data.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

The Amazon Resource Name (ARN) of the document classifier to use to process the job.

InputDataConfig — (map)

Specifies the format and location of the input data for the job.

S3Uri — required — (String)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

Specifies where to send the output files.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data.

ClientRequestToken — (String)

A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.

If a token is not provided, the SDK will use a version 4 UUID.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your document classification job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

Specifies where to send the output files.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.

If a token is not provided, the SDK will use a version 4 UUID.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your dominant language detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

Starts an asynchronous entity detection job for a collection of documents. Use the operation to track the status of a job.

This API can be used for either standard entity detection or custom entity recognition. In order to be used for custom entity recognition, the optional EntityRecognizerArn must be used in order to provide access to the recognizer being used to detect the custom entity.

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

Specifies where to send the output files.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

The Amazon Resource Name (ARN) that identifies the specific entity recognizer to be used by the StartEntitiesDetectionJob. This ARN is optional and is only used for a custom entity recognition job.

LanguageCode — (String)

The language of the input documents. All documents must be in the same language. You can specify any of the languages supported by Amazon Comprehend: English ("en"), Spanish ("es"), French ("fr"), German ("de"), Italian ("it"), or Portuguese ("pt"). If custom entities recognition is used, this parameter is ignored and the language used for training the model is used instead.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

ClientRequestToken — (String)

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

If a token is not provided, the SDK will use a version 4 UUID.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

Specifies where to send the output files.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

The language of the input documents. You can specify English ("en") or Spanish ("es"). All documents must be in the same language.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

ClientRequestToken — (String)

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

If a token is not provided, the SDK will use a version 4 UUID.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your key phrases detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

Specifies where to send the output files.

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

The language of the input documents. You can specify English ("en") or Spanish ("es"). All documents must be in the same language.

Possible values include:

"en"

"es"

"fr"

"de"

"it"

"pt"

ClientRequestToken — (String)

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

If a token is not provided, the SDK will use a version 4 UUID.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your sentiment detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat — (String)

Specifies how the text in an input file should be processed:

ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Possible values include:

"ONE_DOC_PER_FILE"

"ONE_DOC_PER_LINE"

OutputDataConfig — (map)

Specifies where to send the output files. The output is a compressed archive with two files, topic-terms.csv that lists the terms associated with each topic, and doc-topics.csv that lists the documents associated with each topic

S3Uri — required — (String)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the ouput of the operation.

KmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.

If a token is not provided, the SDK will use a version 4 UUID.

VolumeKmsKeyId — (String)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

VpcConfig — (map)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.

SecurityGroupIds — required — (Array<String>)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.

Subnets — required — (Array<String>)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

If the job state is IN_PROGRESS the job is marked for termination and put into the STOP_REQUESTED state. If the job completes before it can be stopped, it is put into the COMPLETED state; otherwise the job is stopped and put into the STOPPED state.

If the job is in the COMPLETED or FAILED state when you call the StopDominantLanguageDetectionJob operation, the operation returns a 400 Internal Request Exception.

When a job is stopped, any documents already processed are written to the output location.

If the job state is IN_PROGRESS the job is marked for termination and put into the STOP_REQUESTED state. If the job completes before it can be stopped, it is put into the COMPLETED state; otherwise the job is stopped and put into the STOPPED state.

If the job is in the COMPLETED or FAILED state when you call the StopDominantLanguageDetectionJob operation, the operation returns a 400 Internal Request Exception.

When a job is stopped, any documents already processed are written to the output location.

If the job state is IN_PROGRESS the job is marked for termination and put into the STOP_REQUESTED state. If the job completes before it can be stopped, it is put into the COMPLETED state; otherwise the job is stopped and put into the STOPPED state.

If the job is in the COMPLETED or FAILED state when you call the StopDominantLanguageDetectionJob operation, the operation returns a 400 Internal Request Exception.

When a job is stopped, any documents already processed are written to the output location.

If the job state is IN_PROGRESS the job is marked for termination and put into the STOP_REQUESTED state. If the job completes before it can be stopped, it is put into the COMPLETED state; otherwise the job is be stopped and put into the STOPPED state.

If the job is in the COMPLETED or FAILED state when you call the StopDominantLanguageDetectionJob operation, the operation returns a 400 Internal Request Exception.

When a job is stopped, any documents already processed are written to the output location.

If the training job state is TRAINING, the job is marked for termination and put into the STOP_REQUESTED state. If the training job completes before it can be stopped, it is put into the TRAINED; otherwise the training job is stopped and put into the STOPPED state and the service sends back an HTTP 200 response with an empty HTTP body.

If the training job state is TRAINING, the job is marked for termination and put into the STOP_REQUESTED state. If the training job completes before it can be stopped, it is put into the TRAINED; otherwise the training job is stopped and putted into the STOPPED state and the service sends back an HTTP 200 response with an empty HTTP body.

Associates a specific tag with an Amazon Comprehend resource. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

The Amazon Resource Name (ARN) of the given Amazon Comprehend resource to which you want to associate the tags.

Tags — (Array<map>)

Tags being associated with a specific Amazon Comprehend resource. There can be a maximum of 50 tags (both existing and pending) associated with a specific resource.

Key — required — (String)

The initial part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the key portion of the pair, with multiple possible values such as “sales,” “legal,” and “administration.”

Value — (String)

The second part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the initial (key) portion of the pair, with a value of “sales” to indicate the sales department.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.

The Amazon Resource Name (ARN) of the given Amazon Comprehend resource from which you want to remove the tags.

TagKeys — (Array<String>)

The initial part of a key-value pair that forms a tag being removed from a given resource. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department. Keys must be unique and cannot be duplicated for a particular resource.

Callback (callback):

function(err, data) { ... }

Called when a response from the service is returned. If a
callback is not supplied, you must call AWS.Request.send()
on the returned request object to initiate the request.